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Value filter support in NDArray has been proposed:
Is there a use case to motivate it?
This effectively requires that all read() return batches be sparse, as the value filter will remove values.
Where the requested batch_format is dense (i.e., the user wants a tensor back), this would require that we also provide coordinates and/or a mask in addition to the tensor (values). Or disallow that combination: if you specify a value filter, you can only ask for a sparse-capable batch_format.
The text was updated successfully, but these errors were encountered:
Created issue as follow-up to a removed "TODO" in the abstract spec, per single-cell-data/TileDB-SOMA#834 (comment).
Value filter support in
NDArray
has been proposed:read()
return batches be sparse, as the value filter will remove values.batch_format
isdense
(i.e., the user wants a tensor back), this would require that we also provide coordinates and/or a mask in addition to the tensor (values). Or disallow that combination: if you specify a value filter, you can only ask for a sparse-capablebatch_format
.The text was updated successfully, but these errors were encountered: